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Project log

Andreas M. Klein
added a research item
Voice user interfaces (VUI) are currently a trending topic but the ability to measure and improve the user experience (UX) is still missing. We aim to develop a tool selector as a web application that can provide a suitable tool to measure UX quality of VUIs. The UX tool selector for VUIs will include a UX measurement toolbox containing several existing and new VUI assessment methods. The UX tool selector will provide context-dependent measurement recommendations without prior extensive research to evaluate and improve VUIs.
Maria Rauschenberger
added 3 research items
Voice User Interfaces (VUIs) are becoming increasingly available while users raise, e.g., concerns about privacy issues. User Experience (UX) helps in the design and evaluation of VUIs with focus on the user. Knowledge of the relevant UX aspects for VUIs is needed to understand the user’s point of view when developing such systems. Known UX aspects are derived, e.g., from graphical user interfaces or expert-driven research. The user’s opinion on UX aspects for VUIs, however, has thus far been missing. Hence, we conducted a qualitative and quantitative user study to determine which aspects users take into account when evaluating VUIs. We generated a list of 32 UX aspects that intensive users consider for VUIs. These overlap with, but are not limited to, aspects from established literature. For example, while Efficiency and Effectivity are already well known, Simplicity and Politeness are inherent to known VUI UX aspects but are not necessarily focused. Furthermore, Independency and Context-sensitivity are some new UX aspects for VUIs.
Currently, voice assistants (VAs) are trendy and highly available. The VA adoption rate of internet users differs among European countries and also in the global view. Due to speech intelligibility and privacy concerns, using VAs is challenging. Additionally, user experience (UX) assessment methods and VA improvement possibilities are still missing, but are urgently needed to overcome users’ concerns and increase the adoption rate. Therefore, we conducted an intercultural study of technology-based users from Germany and Spain, expecting that higher improvement potential would outweigh concerns about VAs. We investigated VA use in terms of availability versus actual use, usage patterns, concerns, and improvement proposals. Comparing Germany and Spain, our findings show that nearly the same amount of intensive VA use is found in both technology-based user groups. Despite cultural differences, further results show very similar tendencies, e.g., frequency of use, privacy concerns, and demand for VA improvements.
Andreas M. Klein
added a research item
Virtuellen digitalen Assistenten (VAs) wird weltweit ein enormes Wachstum bei Unternehmensanwendungen vorausgesagt. Eine Form von VAs sind Sprachassistenten, welche in vielen Geräten und Systemen integriert sind (z.B. Smartphones). VA-Qualitätskriterien, wie korrekte Befehlsausführung, Sprachverständlichkeit und der Datenschutz, sind gleichzeitig Herausforderungen bei der Nutzung. Daher ist die Messung der Qualität des Benutzererlebnisses für die Bewertung und Verbesserung von VAs von großem Interesse. Dieser Beitrag zeigt, wie Sprachinteraktion in Kombination mit dem neuen Fragebogenkonzept UEQ+ (https://ueqplus.ueq-research.org) gemessen werden kann.
Maria Rauschenberger
added a research item
Voice Assistants (VAs), Speech-based Technology (SBT), and Voice User Interfaces (VUI) have gained popularity in recent years; however, privacy concerns stop people from using them. Although the terms are used for slightly di?erent purposes, we mainly use "VAs" for simplicity. To increase the adoption rate and address users’ needs, we propose reducing barriers with Acceptance by Design. By that, we mean using, e.g., VA designs that implicitly show if they collect data or how much data is collected. We can do that by ?rst exploring the user requirements and concerns with methods from the Human-Centered Design Process [4] to provide guidelines for the future. This is a complex challenge that requires a deep understanding from di?erent disciplines to design VAs for users skeptical about them. The HCD o?ers a holistic approach for capturing user requirements or discovering new dimensions of the UX that in?uence the user’s perception or awareness of the interactive system. We must keep in mind that users have di?erent needs (e.g., children vs. parents vs. people with disabilities) that could result in di?erent design solutions. Research has already started to explore with questionnaires [9, 10] and interviews the risks and opportunities of VAs (e.g., cultures [6, 22], use cases [1, 3], existing users, or potential users [1, 3, 22]). Furthermore, these guidelines might help others to design future interactive systems for di?erent use cases, such as augmented reality glasses for university students in labs.
Andreas M. Klein
added a research item
Protocol for Comparing Voice Assistant Risks and Potential with Technology-Based Users: A Study from Germany and Spain. Version 3.0 / 2021.
Andreas M. Klein
added 5 research items
The UEQ+ is a modular framework for the construction of UX questionnaires. The researcher can pick those scales that fit his or her research question from a list of 16 available UX scales. Currently, no UEQ+ scales are available to allow measuring the quality of voice interactions. Given that this type of interaction is increasingly essential for the usage of digital products, this is a severe limitation of the possible products and usage scenarios that can be evaluated using the UEQ+. We describe in this paper the construction of three specific scales to measure the UX of voice interactions. Besides, we discuss how these new scales can be combined with existing UEQ+ scales in evaluation projects. CCS CONCEPTS • Human-centred computing • Human computer interaction • HCI design and evaluation methods
Andreas M. Klein
added a project goal
PhD project